利用预测模型估算 p16 状态对头颈癌肿瘤放射敏感性的影响

IF 2.5 3区 医学 Q2 BIOLOGY
Atsushi Kaida, Hitomi Nojima, Masahiko Miura
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引用次数: 0

摘要

据报道,利用临床病例的基因表达谱,内在放射敏感性指数(RSI)和基因组调整放射剂量(GARD)能够预测2 Gy时的存活率和实际治疗剂量时的治疗效果。鉴于人乳头状瘤病毒(HPV)感染的替代标记物 p16 状态对放射敏感性的影响,我们尝试应用 RSI 和 GARD 估算头颈部鳞状细胞癌(HNSC)中与 p16 相关的放射敏感性。为此,我们采用了癌症基因组图谱(TCGA)数据集。在计算 GARD 时,我们假设 p16 阳性患者接受 60 Gy 分 30 次照射,而 p16 阴性患者接受 70 Gy 分 35 次照射。RSI和GARD分析表明,与p16阴性患者相比,p16阳性患者的放射敏感性更高,治疗效果更好。此外,其他模型预测的肿瘤微环境条件也受到 p16 状态的显著影响。总之,本研究中使用的模型可以作为一种很有前途的工具,用于估计与 p16 相关的 HNSC 放射敏感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating Impacts of p16 Status on Tumor Radiosensitivity in Head and Neck Cancer using Predictive Models.

The intrinsic radiosensitivity index (RSI) and genomic-adjusted radiation dose (GARD) were reported to be able to predict the surviving fraction at 2 Gy and therapeutic effect when delivering actual treatment doses using the gene expression profiles of clinical cases. Given the impact of p16 status, a surrogate marker of the human papillomavirus (HPV) infection, on radiosensitivity, we attempted to apply the RSI and GARD to estimate p16-associated radiosensitivity in head and neck squamous cell carcinoma (HNSC). For this purpose, The Cancer Genome Atlas (TCGA) dataset was employed. In the GARD calculation, we assumed that p16-positive patients received 60 Gy in 30 fractions, while p16-negative patients received 70 Gy in 35 fractions. p16 positivity was associated with favorable characteristics compared to negative patients. The RSI and GARD analyses demonstrated increased radiosensitivity and high therapeutic effect in p16-positive patients, compared to p16-negative patients. Additionally, tumor microenvironmental conditions predicted by other models were also significantly affected by p16 status. Collectively, the models used in this study could be a promising tool for estimating p16-associated radiosensitivity in HNSC.

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来源期刊
Radiation research
Radiation research 医学-核医学
CiteScore
5.10
自引率
8.80%
发文量
179
审稿时长
1 months
期刊介绍: Radiation Research publishes original articles dealing with radiation effects and related subjects in the areas of physics, chemistry, biology and medicine, including epidemiology and translational research. The term radiation is used in its broadest sense and includes specifically ionizing radiation and ultraviolet, visible and infrared light as well as microwaves, ultrasound and heat. Effects may be physical, chemical or biological. Related subjects include (but are not limited to) dosimetry methods and instrumentation, isotope techniques and studies with chemical agents contributing to the understanding of radiation effects.
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